| 청구기호 |
H61-61.95 |
| 판사항 |
1st ed. 2007.
|
| 형태사항 |
XXVIII, 359 p. online resource.
|
| 총서명 |
Statistics for Social and Behavioral Sciences, 2199-7365
|
| 언어 |
English |
| 내용 |
Probability Theory and Classical Statistics -- Basics of Bayesian Statistics -- Modern Model Estimation Part 1: Gibbs Sampling -- Modern Model Estimation Part 2: Metroplis–Hastings Sampling -- Evaluating Markov Chain Monte Carlo Algorithms and Model Fit -- The Linear Regression Model -- Generalized Linear Models -- to Hierarchical Models -- to Multivariate Regression Models -- Conclusion. .
|
| 주제 |
Social sciences.
Statistics .
Demography.
Methodology of the Social Sciences. --https://scigraph.springernature.com/ontologies/product-market-codes/X17000
Statistics for Social Sciences, Humanities, Law. --https://scigraph.springernature.com/ontologies/product-market-codes/S17040
Demography. --https://scigraph.springernature.com/ontologies/product-market-codes/X25000
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9780387565545
Printed edition: 9781441924346
Printed edition: 9780387712642
|
| ISBN |
9780387712659 |
| 기타 표준번호 |
10.1007/978-0-387-71265-9 |
| QR CODE |
|
